today, stock investment has become an important mean of national finance. apparently, it is significant for investors to estimate the stock price and select the trading chance accurately in advance, which will bring high return to stockholders. in the past, long-term trading processes and many technical analysis methods for stock market were put forward. however, stock market is a nonlinear sys...

breast cancer is a malignant tumor and the most common cancer among american women that starts from cells of the breast. the growth of the size of data exceeds the ability of humans to analyze the data. so we need some intelligent machines that can analyze datasets intelligently for us. we propose a multi nominal logit model to evaluate correlation between risk factors of breast tumor. our mode...

abstract from longley, the various equations for determining the runoff to water management are presented by the researchers that are widely used in hydrologic sciences. in this study by using observational data, was evaluated empirical, artificial neural network (ann) and ca-active neuro-fuzzy inference system (canfis) models in estimation of runoff. for this purpose, by using climatic and phy...

0

a new intelligent photovoltaic (PV) panel structure to extract the maximum power in mismatch irradiance is proposed. In conventional structures, difference of irradiance between series panels can cause the deviation of maximum power point. In this condition tracking MPP becomes difficult and reduces efficiency. Improvements in power electronics and its effects in PV industrial technology, devel...

An accurate and simple analytical model for the computation of reflection amplitude phase Reconfigurable Intelligent Surfaces is presented. The based on a transmission-line circuit representation RIS which takes into account physics behind structure including effect all relevant geometrical electrical parameters. proposed allows to take incidence angle, mutual coupling among elements interactio...